* 6-month contract with potential extension options
* Multiple locations available across ACT, NSW, VIC, QLD, SA, and TAS with a hybrid working model
* Baseline security clearance required (Australian citizenship essential)
* Strong machine learning engineering experience including Python, ML frameworks, and cloud-based ML solutions
This role presents an exciting opportunity for a Senior Machine Learning Engineer to lead the delivery of advanced, secure, and scalable machine learning solutions within a complex enterprise environment. You will play a key role in enabling data-driven decision-making and delivering innovative AI capabilities, while working closely with technical and business stakeholders to support strategic objectives.
Your duties will include:
* Designing and implementing machine learning models for complex datasets
* Developing and maintaining end-to-end ML pipelines for training and deployment
* Optimising models for performance, scalability, and accuracy in production
* Collaborating with data scientists, engineers, and stakeholders to translate requirements into solutions
* Ensuring compliance with government security frameworks and ethical AI principles
* Providing technical leadership, mentorship, and ongoing model monitoring
Skills and Experience we are looking for:
* Proven experience in machine learning engineering within complex environments
* Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
* Experience with data engineering, feature engineering, and model optimisation
* Familiarity with MLOps practices and tools including MLflow, Kubeflow, or Airflow
* Knowledge of cloud platforms and containerisation technologies
* Excellent problem-solving, communication, and stakeholder engagement skills
Application Process
If you would like to apply, please contact
Sanat on or email
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